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Dbt Data Engineer Jobs in Colorado (NOW HIRING)

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... with dbt (data build tool) for data transformation ▸ Familiarity with Terraform or Deployment ... Programming Java (primary), SQL, Python (preferred) ETL / Pipeline Apache Beam, Apache Spark ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ... data engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ... data engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

Data Manager

Englewood, CO · On-site

$130/hr

Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt. * Manage and mentor a distributed team of 7-8 data engineers and analysts. * Oversee ...

Data Engineer II

Denver, CO · On-site

$108K - $136K/yr

You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver ...

Data Manager

Englewood, CO · On-site

$130/hr

Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt. * Manage and mentor a distributed team of 7-8 data engineers and analysts. * Oversee ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and ...

Senior Data Engineer

Denver, CO · On-site

$139K - $174K/yr

You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver ...

Senior Data Engineer

Denver, CO · On-site

$139K - $174K/yr

You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver ...

Senior Data Engineer

Denver, CO · On-site

$140K - $180K/yr

Develop and own a Snowflake-based data warehouse using dbt best practices (models, tests ... Apply strong software engineering practices to data work, including version control, testing, and ...

Snowflake Data Engineer

Broomfield, CO · On-site

$74K - $110K/yr

Required Skill and Experience • Hands-on experience in Data Warehousing, ETL, SQL, Python, DBT ... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ...

Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD ... Security & Privacy: Engineer data lifecycle policies that strictly adhere to global privacy ...

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Senior Data Engineer

Denver, CO · Hybrid

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Senior Data Engineer

Denver, CO · Hybrid

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Senior Data Engineer

Denver, CO · Hybrid

$95K - $115K/yr

Experience with data visualization tools. * Relevant certifications (AWS, etc ... Programming experience (DBT, Python, Scala, Node.js). * Snowflake experience. Working Conditions

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Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

What are the key skills and qualifications needed to thrive as a Dbt Data Engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

How does a Dbt Data Engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are Dbt Data Engineers?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Colorado? For Dbt Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Colorado look for? The top searched job categories for Dbt Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Dbt Data Engineer jobs? Cities in Colorado with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

GCP DATA ENGINEER

Symhas

Denver, CO • On-site

$117K - $141K/yr

Other

Posted 15 days ago


Job description

GCP DATA ENGINEER

Contract • Denver, Colorado • On-site / Hybrid

Position Type

Contract (1099 / C2C)

Duration

6–12 Months (with extension potential)

Location

Denver, Colorado —5 days on-site

Start Date

Immediate / ASAP

Industry

Technology / Data Engineering

POSITION OVERVIEW

We are seeking an experienced GCP Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will have deep expertise in Google Cloud Platform services, Java-based pipeline development, and enterprise ETL frameworks. You will design and implement scalable data pipelines, work with large distributed datasets, and collaborate with cross-functional teams to deliver high-quality data solutions.

KEY RESPONSIBILITIES

▸ Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform using Java and cloud-native services

▸ Build and optimize data workflows using GCP tools such as Dataflow (Apache Beam), Dataproc, BigQuery, Cloud Composer (Airflow), and Pub/Sub

▸ Develop Java-based data ingestion and transformation applications to move data across structured and unstructured sources

▸ Collaborate with data architects and analysts to translate business requirements into scalable technical data solutions

▸ Monitor, troubleshoot, and tune pipeline performance, data quality, and reliability in production environments

▸ Implement data governance and security best practices including IAM policies, encryption, and access controls

▸ Work with Cloud Storage, Cloud SQL, Spanner, and Bigtable to manage and persist data assets

▸ Participate in code reviews, technical design discussions, and agile ceremonies

▸ Write technical documentation for pipelines, schemas, and data flows

▸ Support data migration efforts and legacy system integration with modern cloud infrastructure

REQUIRED QUALIFICATIONS

Core GCP Skills

▸ 5+ years of experience in data engineering with at least 3 years on Google Cloud Platform

▸ Hands-on expertise with BigQuery (table design, partitioning, clustering, cost optimization)

▸ Proficiency with Cloud Dataflow (Apache Beam pipelines — batch and streaming)

▸ Experience with Cloud Composer / Apache Airflow for workflow orchestration

▸ Familiarity with Pub/Sub for real-time event streaming and messaging

▸ Working knowledge of Cloud Storage, Dataproc (Spark/Hadoop), and GCP networking basics

Java & ETL

▸ Strong proficiency in Java (8+) for building data pipelines and backend services

▸ Experience designing and building ETL/ELT pipelines at scale (batch and streaming)

▸ Knowledge of SQL and experience writing complex queries for BigQuery or similar warehouses

▸ Familiarity with data transformation patterns: slowly changing dimensions, CDC, data normalization

▸ Experience integrating APIs, JDBC/ODBC connectors, and file-based data sources

General

▸ Solid understanding of distributed systems, data warehousing concepts, and data lake architecture

▸ Proficiency with version control (Git) and CI/CD practices

▸ Excellent problem-solving skills and ability to work independently in a contract environment

▸ Strong communication skills for collaborating with remote and on-site stakeholders

PREFERRED / NICE-TO-HAVE

▸ Google Cloud Professional Data Engineer certification

▸ Experience with dbt (data build tool) for data transformation

▸ Familiarity with Terraform or Deployment Manager for infrastructure-as-code on GCP

▸ Experience with Kafka or other streaming platforms alongside Pub/Sub

▸ Knowledge of Python for scripting and data manipulation tasks

▸ Exposure to data quality frameworks (Great Expectations, Deequ)

▸ Experience with Looker, Data Studio, or other BI tools connected to BigQuery

TECHNICAL SKILLS SUMMARY

Category

Technologies & Tools

Cloud Platform

Google Cloud Platform (GCP)

GCP Services

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud SQL, Spanner, Bigtable

Programming

Java (primary), SQL, Python (preferred)

ETL / Pipeline

Apache Beam, Apache Spark, Apache Airflow, dbt

DevOps / IaC

Git, CI/CD pipelines, Terraform (preferred)

Data Formats

Avro, Parquet, JSON, CSV, ORC

Methodologies

Agile / Scrum, Data Mesh, Data Lakehouse

ABOUT THE ENGAGEMENT

This is a contract role embedded within an established data engineering team. You will have direct impact on mission-critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two-week sprints, daily standups, and collaborative design sessions. The role is hybrid with approximately three days on-site in Denver, CO.